{"id":"W7132616271","doi":"","title":"Fiscal challenges of population aging","year":2018,"lang":"hr","type":"dissertation","venue":"Juraj Dobrila University of Pula Digital Repository","topic":"Regional Development and Management Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Quarter (Canadian coin); Population ageing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026236,0.000320389,0.0003920984,0.001952267,0.00343904,0.006008162,0.0006983058,0.001945821,0.0154658],"category_scores_gemma":[0.005657971,0.00018566,0.0004907077,0.00280648,0.001778117,0.003648682,0.004024229,0.002106984,0.001492782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005509253,"about_ca_system_score_gemma":0.01454195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03743839,"about_ca_topic_score_gemma":0.05472913,"domain_scores_codex":[0.9987491,0.0003841503,0.0000525814,0.00009314265,0.0002013953,0.0005195209],"domain_scores_gemma":[0.9979619,0.0003390865,0.0002865338,0.00008226862,0.0004844459,0.0008457536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001489536,0.0001427927,0.04526318,0.0004338082,0.00007338989,0.0007873383,0.008862238,0.001747473,0.0002307603,0.6563914,0.1526604,0.1332584],"study_design_scores_gemma":[0.00003175947,0.00007525725,0.04272221,0.0009103776,0.00003635824,0.0003224301,0.02173577,0.0007665325,0.0001512838,0.1060519,0.8271561,0.00004011653],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.183625,0.04190399,0.001253125,0.4927131,0.004380709,0.00006912557,0.002173124,0.00008519945,0.2737965],"genre_scores_gemma":[0.8489166,0.04971237,0.001205717,0.02142682,0.004192728,0.0001398213,0.001250571,0.00007171167,0.07308359],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03743839,"threshold_uncertainty_score":0.07444096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02026296893886604,"score_gpt":0.1938956221671136,"score_spread":0.1736326532282475,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}